idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
New measures of aging, combined with UN population projections, show that population aging is likely to end before 2100 in China, Germany, and the USA.
Population aging could peak by 2040 in Germany and by 2070 in China, according to a new study published in the journal PLOS ONE, which combines new measures of aging with probabilistic population projections from the UN. In the USA, the study shows very little population aging at all in the coming century.
Population aging has been a major concern for many countries. Growing numbers of older people compared to younger ones in a population could create unsustainable burdens on social support and healthcare systems if a greater number of older people are dependent on a declining proportion of working-age people in the population.
Traditional population projections categorize “old age” as a simple cutoff at age 65. But as life expectancies have increased, so too have the years that people remain healthy, active, and productive. In the last decade, IIASA researchers have published a large body of research showing that the very boundary of “old age” should shift with changes in life expectancy, and have introduced new measures of aging that are based on population characteristics, giving a more comprehensive view of population aging.
The study combines these new measures with UN probabilistic population projections to produce a new set of age structure projections for four countries: China, Germany, Iran, and the USA.
“Both of these demographic techniques are relatively new, and together they give us a very different, and more nuanced picture of what the future of aging might look like,” says Warren Sanderson, a researcher at IIASA and Stony Brook University in the USA who wrote the article with Sergei Scherbov, leader of the Re-Aging Project at IIASA, and Patrick Gerland, chief of the mortality section of the Population Division of the United Nations.
One of the measures used in the paper looks at life expectancy as well as years lived to adjust the definition of old age. Probabilistic projections produce a range of thousands of potential scenarios, so that they can show a range of possibilities of aging outcomes.
For China, Germany, and the USA, the study showed that population aging would peak and begin declining well before the end of the century. Iran, which had an extremely rapid fall in fertility rate in the last 20 years, has an unstable age distribution and the results for the country were highly uncertain.
“We chose these four countries for analysis because they have very different population structures and projections, and so they allow us to test this methodology across a range of possible scenarios,” says Scherbov.
Reference
Sanderson WC, Scherbov S, and Gerland P (2017). Probabilistic Population Aging PLOS ONE.21 June 2017. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0179171
About IIASA:
The International Institute for Applied Systems Analysis (IIASA) is an international scientific institute that conducts research into the critical issues of global environmental, economic, technological, and social change that we face in the twenty-first century. Our findings provide valuable options to policymakers to shape the future of our changing world. IIASA is independent and funded by prestigious research funding agencies in Africa, the Americas, Asia, Europe, and Oceania. www.iiasa.ac.at
Criteria of this press release:
Journalists
Social studies
transregional, national
Research results
English
You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).
